Seyone Chithrananda Claim this profile

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Robust representation of semantically constrained graphs, in particular for molecules in chemistry

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Code for paper "Mapping the combinatorial coding between olfactory receptors and perception with deep learning"

Created a RNN with LSTM cells to learn patterns from SMILES Strings, and use them to generate new molecular structures.

Compilation of models created to learn + generate molecular structures.

Website designed in HTML and PHP for EquiTrade algorithmic stock trading project.

TF-binding CNN model, trained on ChIP-SEQ sequence data to predict dna-protein binding interactions.

Created simple ANN to predict stock prices on the S&P 500 using time-series historical data.

Taurus 'Donut' Animation

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Implementation of Deepbind using TensorFlow

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An Open Source Effort to Design Covid19 Therapeutics

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ncov-ligand-protein: A collection of models trained for predicting activity across molecular assays for the 3clpro protease in SARS-CoV-2.

Message Passing Neural Networks for Molecule Property Prediction

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Scalr: Applying super resolution U-Nets + generative adversarial networks to increase image resolution.

Final project for AP Computer Science class. Uses JavaFX GUI interface.

All the project completed in my university-level AP Computer Science Course

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Profluent-E1 family of Protein Encoder Models

A comprehensive AI-driven web-based solution for Human Olfaction

Train Sparse Autoencoders (SAEs) using PyTorch.

website

About me!

de novo uncertainty quantification for unsupervised evolution and design

Generative Models for Graph-Based Protein Design

Evolutionary velocity with protein language models

RoseTTAFold2 protein/nucleic acid complex prediction

Code for the paper: Augmenting genetic algorithms with deep neural networks for exploring the chemical space

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

ccc practice

A beautiful, simple, clean, and responsive Jekyll theme for academics

Profile README

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

Mchacks Hackathon Project

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

official website for Project De Novo

Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)

Hack the North 2019 Project

Training a implementation of GPT-2 on text from the character Lord Henry in The Picture of Dorian Grey.

React Gfycat looping HTN demo

Generative Tensorial Reinforcement Learning (GENTRL) model

Scrapes for the hottest posts on a given subreddit and creates a new Pandas Dataframe to save posts as a csv.

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